How Magic a Bullet Is Machine Learning for Credit Analysis? An Exploration with FinTech Lending Data
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DOI: 10.29412/res.wp.2019.16
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References listed on IDEAS
- Rajan, Uday & Seru, Amit & Vig, Vikrant, 2015.
"The failure of models that predict failure: Distance, incentives, and defaults,"
Journal of Financial Economics, Elsevier, vol. 115(2), pages 237-260.
- Seru, Amit & Rajan, Uday & Vig, Vikrant, 2015. "The Failure of Models That Predict Failure: Distance, Incentives, and Defaults," Research Papers 3464, Stanford University, Graduate School of Business.
- Strobl, Carolin & Boulesteix, Anne-Laure & Augustin, Thomas, 2007. "Unbiased split selection for classification trees based on the Gini Index," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 483-501, September.
- Brian S. Chen & Samuel G. Hanson & Jeremy C. Stein, 2017. "The Decline of Big-Bank Lending to Small Business: Dynamic Impacts on Local Credit and Labor Markets," NBER Working Papers 23843, National Bureau of Economic Research, Inc.
- Judit Montoriol-Garriga & J. Christina Wang, 2011. "The Great Recession and bank lending to small businesses," Working Papers 11-16, Federal Reserve Bank of Boston.
- Jeffrey M Wooldridge, 2010.
"Econometric Analysis of Cross Section and Panel Data,"
MIT Press Books,
The MIT Press,
edition 2, volume 1, number 0262232588, December.
- Jeffrey M. Wooldridge, 2001. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232197, December.
- J. Christina Wang, 2018. "Technology, the nature of information, and fintech marketplace lending," Current Policy Perspectives 18-3, Federal Reserve Bank of Boston.
- Stefan Wager & Susan Athey, 2018.
"Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
- Wager, Stefan & Athey, Susan, 2017. "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers 3576, Stanford University, Graduate School of Business.
- Jushan Bai & Pierre Perron, 1998.
"Estimating and Testing Linear Models with Multiple Structural Changes,"
Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
- Stahlecker, Peter & Trenkler, Gotz, 1993. "Some Further Results on the Use of Proxy Variables in Prediction," The Review of Economics and Statistics, MIT Press, vol. 75(4), pages 707-711, November.
- Lin, Yi & Jeon, Yongho, 2006. "Random Forests and Adaptive Nearest Neighbors," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 578-590, June.
- Lessmann, Stefan & Baesens, Bart & Seow, Hsin-Vonn & Thomas, Lyn C., 2015. "Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research," European Journal of Operational Research, Elsevier, vol. 247(1), pages 124-136.
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Cited by:
- Tom, Daniel M. Ph.D., 2023. "Shapley Values Infidelity," OSF Preprints 2p5d3, Center for Open Science.
- Ying Lei Toh, 2023. "Addressing Traditional Credit Scores as a Barrier to Accessing Affordable Credit," Economic Review, Federal Reserve Bank of Kansas City, vol. 0(no. 3), pages 1-22, June.
- Marcus Buckmann & Andy Haldane & Anne-Caroline Hüser, 2021.
"Comparing minds and machines: implications for financial stability,"
Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 479-508.
- Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
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More about this item
Keywords
FinTech/marketplace lending; supervised machine learning; default prediction;All these keywords.
JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-03-02 (Big Data)
- NEP-CMP-2020-03-02 (Computational Economics)
- NEP-ORE-2020-03-02 (Operations Research)
- NEP-PAY-2020-03-02 (Payment Systems and Financial Technology)
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